Index Catalog // ScholarsArchive@OSU

Performance evaluation and design of multiple time series based forecasting systems

Creator:: Chen, Kuei-Lin
Abstract:: The study evaluates performances of three multiple time series (MTS) forecasting methods; investigates possible improvements in MTS forecasting operations, and proposes a multiple time series based forecasting system. Time series considered are finite, linear, covariance stationary, and discrete. Specific objectives for the thesis were: (a) conducting comparative studies of MTS...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE THESIS OF KUEI-LIN CHEN for the degree of

The application of decomposition and condensation algorithms to the logical design of resource planning and management (RPM) networks

Creator:: Chen, Kuei-Lin
Abstract:: Resource Planning and Management (RPM) network is a graphical representation of input-output relationships among activities and resources within a system. Both resources (events) and activities (decisions) are explicitly represented as nodes in all RPM networks. Depending upon the relationships being depicted, RPM networks can be classified into Relational (R), Precedence...
Resource Type:: Masters Thesis
Full Text:: THESIS OF KUEI-LIN CHEN for the degree MASTER OF SCIENCE (Name) (Degree) in INDUSTRIAL ENGINEERING

Application of linear free energy relationship in marine chemistry and analysis of the wintertime carbonate data in the northern North Atlantic Ocean

Creator:: Lin, Kaijun
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Kaijun Lin for the degree of

Numerical inversion of laplace transforms by the trapezoidal-type methods

Creator:: Lin, FuSen F.
Abstract:: In this dissertation, we investigate three numerical methods for inverting the Laplace transform. These methods are all based on the trapezoidal-type approximations to the Bromwich integral. The first method is the direct integration method: It is a straightforward application of the trapezoidal rule to the Bromwich integral, followed by convergence...
Resource Type:: Dissertation
Full Text:: FuSen F. Lin for the degree of Doctor of Philosophy in

Essays on Regional Economic Impact Assessment and Demand Analysis using Disaggregated Data

Creator:: Chen, Yunguang
Abstract:: The appropriate use of disaggregated economic data not only improves the accuracy and robustness of economic analyses, but also extends the existing economic models to address new aspects of the issue. This dissertation consists of three essays: two essays use disaggregated economic-engineering data to address spatial heterogeneity in economic losses...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Yunguang Chen for the degree of Doctor of Philosophy in Applied

Development of a Novel Device to Measure the Viscosity of High Temperature Molten Salts

Creator:: Blyther, Joshua D.
Abstract:: This thesis presents a novel design for a rheometer style viscometer by implementing high temperature and inert atmospheric requirements on the device. The goals of this device are to measure the viscosity of high temperature molten salts, which are corrosive and extremely hydroscopic. It also aims to be able to...
Resource Type:: Masters Thesis
Full Text:: approved: ______________________________________________________ Tianyi Chen This thesis presents

A case for application-based linear transformers : applied towards text-to-spectrogram

Creator:: Agostinelli, Victor
Abstract:: Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Resource Type:: Masters Thesis
Full Text:: approved: Lizhong Chen Various natural language processing (NLP) tasks necessitate deep models that are

Machine Learning for Architectural Design Space Exploration and Resource Control

Creator:: Penney, Drew D.
Abstract:: Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
Resource Type:: Masters Thesis
Full Text:: Performance Computer Architecture (2020) and was co-authored with Dr. Chen along with Ting-Ru Lin and Dr

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Creator:: Li, Yunfan
Abstract:: The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
Resource Type:: Dissertation
Full Text:: approved: Lizhong Chen The Machine Learning (ML) algorithms are increasingly explored in varies of

Machine learning for computer architecture design and optimization

Creator:: Penney, Drew
Abstract:: Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
Resource Type:: Dissertation
Full Text:: Chen Machine learning applied to computer architecture has rapidly transitioned from a theoretical

ScholarsArchive@OSU

Performance evaluation and design of multiple time series based forecasting systems

The application of decomposition and condensation algorithms to the logical design of resource planning and management (RPM) networks

Application of linear free energy relationship in marine chemistry and analysis of the wintertime carbonate data in the northern North Atlantic Ocean

Numerical inversion of laplace transforms by the trapezoidal-type methods

Essays on Regional Economic Impact Assessment and Demand Analysis using Disaggregated Data

Development of a Novel Device to Measure the Viscosity of High Temperature Molten Salts

A case for application-based linear transformers : applied towards text-to-spectrogram

Machine Learning for Architectural Design Space Exploration and Resource Control

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Machine learning for computer architecture design and optimization

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